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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v7i2e24204</article-id>
      <article-id pub-id-type="pmid">33591286</article-id>
      <article-id pub-id-type="doi">10.2196/24204</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Global Infectious Diseases Epidemic Information Monitoring System: Development and Usability Study of an Effective Tool for Travel Health Management in China</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ocampo</surname>
            <given-names>Joanne Michelle</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Hung</surname>
            <given-names>Kevin</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Gu</surname>
            <given-names>Dayong</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9547-8474</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>He</surname>
            <given-names>Jianan</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6941-7806</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Sun</surname>
            <given-names>Jie</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2637-3174</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Shi</surname>
            <given-names>Xin</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4930-7295</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Ye</surname>
            <given-names>Ying</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0235-4534</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Zhang</surname>
            <given-names>Zishuai</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6943-0357</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Xiangjun</given-names>
          </name>
          <degrees>PG</degrees>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6519-7893</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Su</surname>
            <given-names>Qun</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff7" ref-type="aff">7</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6973-9220</ext-link>
        </contrib>
        <contrib id="contrib9" contrib-type="author">
          <name name-style="western">
            <surname>Yu</surname>
            <given-names>Wenjin</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff7" ref-type="aff">7</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-9227-8912</ext-link>
        </contrib>
        <contrib id="contrib10" contrib-type="author">
          <name name-style="western">
            <surname>Yuan</surname>
            <given-names>Xiaopeng</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff8" ref-type="aff">8</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1586-1201</ext-link>
        </contrib>
        <contrib id="contrib11" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Dong</surname>
            <given-names>Ruiling</given-names>
          </name>
          <degrees>MIM</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <address>
            <institution>Shenzhen International Travel Health Care Center (Shenzhen Customs District Port Outpatient Clinics)</institution>
            <institution>Shenzhen Customs District</institution>
            <addr-line>Room 406, Shenzhen Kouan Hospital, Huanggang Kouan Shenghuo Qu</addr-line>
            <addr-line>Futian District</addr-line>
            <addr-line>Shenzhen</addr-line>
            <country>China</country>
            <phone>86 15019457579</phone>
            <email>1047194259@qq.com</email>
          </address>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0878-5426</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Laboratory Medicine, Shenzhen Second People's Hospital</institution>
        <institution>The First Affiliated Hospital of Shenzhen University</institution>
        <institution>Health Science Center</institution>
        <addr-line>Shenzhen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Shenzhen International Travel Health Care Center (Shenzhen Customs District Port Outpatient Clinics)</institution>
        <institution>Shenzhen Customs District</institution>
        <addr-line>Shenzhen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Shenzhen Academy of Inspection and Quarantine</institution>
        <institution>Shenzhen Customs District</institution>
        <addr-line>Shenzhen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Business School, All Saints Campus</institution>
        <institution>Manchester Metropolitan University</institution>
        <addr-line>Manchester</addr-line>
        <country>United Kingdom</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Department of Statistics &#38; Applied Probability</institution>
        <institution>National University of Singapore</institution>
        <addr-line>Singapore</addr-line>
        <country>Singapore</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>Harbin Institute of Technology, Shenzhen</institution>
        <addr-line>Shenzhen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff7">
        <label>7</label>
        <institution>Shenzhen Datathinking Corporation</institution>
        <addr-line>Shenzhen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff8">
        <label>8</label>
        <institution>Department of Laboratory Medicine</institution>
        <institution>ZhuJiang Hospital</institution>
        <institution>Southern Medical University</institution>
        <addr-line>Guangzhou</addr-line>
        <country>China</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Ruiling Dong <email>1047194259@qq.com</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>2</month>
        <year>2021</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>16</day>
        <month>2</month>
        <year>2021</year>
      </pub-date>
      <volume>7</volume>
      <issue>2</issue>
      <elocation-id>e24204</elocation-id>
      <history>
        <date date-type="received">
          <day>17</day>
          <month>9</month>
          <year>2020</year>
        </date>
        <date date-type="rev-request">
          <day>3</day>
          <month>11</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>23</day>
          <month>11</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>19</day>
          <month>12</month>
          <year>2020</year>
        </date>
      </history>
      <copyright-statement>©Dayong Gu, Jianan He, Jie Sun, Xin Shi, Ying Ye, Zishuai Zhang, Xiangjun Wang, Qun Su, Wenjin Yu, Xiaopeng Yuan, Ruiling Dong. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 16.02.2021.</copyright-statement>
      <copyright-year>2021</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="http://publichealth.jmir.org/2021/2/e24204/" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Obtaining comprehensive epidemic information for specific global infectious diseases is crucial to travel health. However, different infectious disease information websites may have different purposes, which may lead to misunderstanding by travelers and travel health staff when making accurate epidemic control and management decisions.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>The objective of this study was to develop a Global Infectious Diseases Epidemic Information Monitoring System (GIDEIMS) in order to provide comprehensive and timely global epidemic information.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>Distributed web crawler and cloud agent acceleration technologies were used to automatically collect epidemic information about more than 200 infectious diseases from 26 established epidemic websites and Baidu News. Natural language processing and in-depth learning technologies have been utilized to intelligently process epidemic information collected in 28 languages. Currently, the GIDEIMS presents world epidemic information using a geographical map, including date, disease name, reported cases in different countries, and the epidemic situation in China. In order to make a practical assessment of the GIDEIMS, we compared infectious disease data collected from the GIDEIMS and other websites on July 16, 2019.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Compared with the Global Incident Map and Outbreak News Today, the GIDEIMS provided more comprehensive information on human infectious diseases. The GIDEIMS is currently used in the Health Quarantine Department of Shenzhen Customs District (Shenzhen, China) and was recommended to the Health Quarantine Administrative Department of the General Administration of Customs (China) and travel health–related departments.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>The GIDEIMS is one of the most intelligent tools that contributes to safeguarding the health of travelers, controlling infectious disease epidemics, and effectively managing public health in China.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>infectious disease</kwd>
        <kwd>epidemic information</kwd>
        <kwd>travel health</kwd>
        <kwd>global</kwd>
        <kwd>surveillance</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>In the past, when infectious disease outbreaks have occurred in certain countries, such as the Middle East Respiratory Syndrome (MERS) outbreak in South Korea in 2015, specific health examinations had to be performed on travelers from those countries upon entering China [<xref ref-type="bibr" rid="ref1">1</xref>]. This kind of health management work at Chinese ports of entry are undertaken by travel health officers (referred to as health quarantine officers in China) from China Customs. This is one of the key approaches to preventing and controlling the transmission of infectious diseases [<xref ref-type="bibr" rid="ref2">2</xref>].</p>
      <p>Along with the development of global economic integration, the number of international travelers to China is gradually increasing. For instance, Shenzhen is an international metropolis in China, with an urban population of more than 10 million [<xref ref-type="bibr" rid="ref3">3</xref>]. In 2019, approximately 242 million passengers passed through the Port of Shenzhen [<xref ref-type="bibr" rid="ref4">4</xref>]. Travel health officers at China Customs use a temperature monitoring system and epidemiological investigation as the main detecting tools to identify infected travelers [<xref ref-type="bibr" rid="ref5">5</xref>]. Many travelers may not be aware of their infection status while traveling [<xref ref-type="bibr" rid="ref6">6</xref>]. Therefore, travel health officers must pay attention to the latest epidemic information regarding certain infectious diseases to determine whether these travelers may be infected and prepare the related public health materials. In general, information concerning global infectious disease outbreaks is manually collected, which is a time-consuming and error-prone process. Travel health officers require an infectious disease information collection system that can automatically collect epidemic information from a large number of websites, extract key information, and translate it into the native language. For these reasons, the Harbin Institute of Technology (Shenzhen, China) and Datathinking Corporation (Shenzhen, China) developed the Global Infectious Diseases Epidemic Information Monitoring System (GIDEIMS) in coordination with the Central Laboratory of Health Quarantine of the Shenzhen International Travel Health Care Center (Shenzhen Customs District Port Outpatient Clinics). The GIDEIMS is currently used by the Health Quarantine Department at the Port of Shenzhen Customs, and the system was recommended to the Health Quarantine Administrative Department of the General Administration of Customs (China) and travel health–related departments. An Epidemic Information Team has been established by the General Administration of Customs (China) aimed at supporting the travel health officers and related departments in public health management. With the application of the GIDEIMS, updated and useful global infectious disease information is sent to the concerned parties daily, as well as useful information for infectious disease prevention and control, such as instructions on how to prepare public health materials, including masks and test kits. The aim of the GIDEIMS is to provide travelers and travel health staff with a helpful tool for public health management.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Selection of Websites</title>
        <p>Web queries on infectious diseases could be one of the most accurate, cost-effective, and labour-extensive sources of syndromic surveillance [<xref ref-type="bibr" rid="ref7">7</xref>]. Some established and/or official websites are frequently used by related staff and citizens to gain human infectious disease epidemic information. The websites used in the GIDEIMS are listed in <xref ref-type="table" rid="table1">Table 1</xref>; most infectious disease epidemic information, including information about COVID-19, can be found on these websites. Although all of these websites show excellent performance in the search and distribution of epidemic information, they are characterized by specific limitations. For instance, ProMED [<xref ref-type="bibr" rid="ref8">8</xref>] reports on human diseases, as well as plant and animal diseases, while the Global Incident Map reports on fewer than 40 types of human infectious diseases, excluding chicken pox. Moreover, the epidemic information provided by the World Health Organization is reported by the member of states, and its distribution may be delayed. Data from different resources must be generated to obtain comprehensive information; the combined expertise of the different systems enhances performance for the early detection of infectious disease outbreaks [<xref ref-type="bibr" rid="ref9">9</xref>]. Considering that the traditional manual search approach is time-consuming and may be inaccurate, as well as the fact that most of the existing websites are only offered in non–Chinese languages, Chinese travel health officers require a user-friendly infectious disease system that can effectively translate diverse information from multiple sources. For these purposes, we developed the GIDEIMS to provide a simple, effective, and sustainable tool for obtaining information on global human infectious disease epidemics.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Websites used in the Global Infectious Diseases Epidemic Information Monitoring System.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="89"/>
            <col width="386"/>
            <col width="525"/>
            <thead>
              <tr valign="top">
                <td>Website number</td>
                <td>Name and responsible department</td>
                <td>Important column</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>1<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>WHO<sup>b</sup> [<xref ref-type="bibr" rid="ref10">10</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Disease Outbreak News”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>2<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>WHO Western Pacific Region [<xref ref-type="bibr" rid="ref11">11</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Outbreaks and emergencies” in “Emergencies”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>3<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>WHO Regional Office for the Eastern Mediterranean [<xref ref-type="bibr" rid="ref12">12</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>4<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>WHO Regional Office for Europe [<xref ref-type="bibr" rid="ref13">13</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Emergencies” from “Health topics”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>5<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>WHO Regional Office for the Americas [<xref ref-type="bibr" rid="ref14">14</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Epidemiological Alerts and Updates</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>6<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>WHO Regional Office for Africa [<xref ref-type="bibr" rid="ref15">15</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Outbreaks and other emergencies</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>7<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>ECDC<sup>c</sup> [<xref ref-type="bibr" rid="ref16">16</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>News &#38; events</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>8<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>MOH<sup>e</sup> (Kingdom of Saudi Arabia) [<xref ref-type="bibr" rid="ref17">17</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Command and control center</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>9<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Travel Health Service, Department of Health, Hong Kong, China [<xref ref-type="bibr" rid="ref18">18</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Travel Health News”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>10<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>CDC<sup>f</sup> (US) [<xref ref-type="bibr" rid="ref19">19</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Outbreaks”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>11<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>MOH (Singapore) [<xref ref-type="bibr" rid="ref20">20</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Weekly Infectious Diseases Bulletin” in “disease update”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>12<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Global Polio Education Initiative [<xref ref-type="bibr" rid="ref21">21</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“This week” in “Polio Today”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>13<sup>g</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Program for Monitoring Emerging Diseases, International Society for Infectious Diseases [<xref ref-type="bibr" rid="ref22">22</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Need to distinguish human or animal diseases</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>14<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Centre for Health Protection, Department of Health (Hong Kong, China) [<xref ref-type="bibr" rid="ref23">23</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Outbreaks”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>15<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>CDC (South Korea) [<xref ref-type="bibr" rid="ref24">24</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Domestic Infectious Disease Occurrence” from “Archives”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>16<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Department of Disease Control (Thailand) [<xref ref-type="bibr" rid="ref25">25</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Weekly Disease Forecast</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>17<sup>g</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Outbreak News Today, satellite of The Global Dispatch Inc [<xref ref-type="bibr" rid="ref26">26</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Recent posts</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>18<sup>g</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Global Incident Map [<xref ref-type="bibr" rid="ref27">27</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>50 newest events</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>19<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Pan American Health Organization [<xref ref-type="bibr" rid="ref28">28</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Epidemiological Alerts and Updates”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>20<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Travel health notices, Government of Canada [<xref ref-type="bibr" rid="ref29">29</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Travel health notices”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>21<sup>g</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Center for Infectious Disease Research and Policy, Academic Health Center, University of Minnesota (MN, US) [<xref ref-type="bibr" rid="ref30">30</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“News and Perspective”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>22<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>CDC, MOH (Taiwan) [<xref ref-type="bibr" rid="ref31">31</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Professional and public version</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>23<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Unit for Communicable Disease Prevention and Diseases Surveillance, CDC (Macau, China) [<xref ref-type="bibr" rid="ref32">32</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“latest news”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>24<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Chinese National Influenza Center [<xref ref-type="bibr" rid="ref33">33</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Weekly Report”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>25<sup>g</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>HealthMap, Harvard University (MA, US) [<xref ref-type="bibr" rid="ref34">34</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Outbreaks Near Me”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>26<sup>a,d</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Nigeria Center for Disease Control and Prevention [<xref ref-type="bibr" rid="ref35">35</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>“Weekly Epidemiological Report” from “Publications”</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>Official public websites.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>WHO: World Health Organization.</p>
            </fn>
            <fn id="table1fn3">
              <p><sup>c</sup>ECDC: European Centre for Disease Prevention and Control.</p>
            </fn>
            <fn id="table1fn4">
              <p><sup>d</sup>Users pay close attention to epidemic information from this area.</p>
            </fn>
            <fn id="table1fn5">
              <p><sup>e</sup>MOH: Ministry of Health.</p>
            </fn>
            <fn id="table1fn6">
              <p><sup>f</sup>CDC: Centers for Disease Control and Prevention.</p>
            </fn>
            <fn id="table1fn7">
              <p><sup>g</sup>This website gives comprehensive and timely epidemic information.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Meanwhile, several research organizations and government departments have their own information systems (eg, the Global Public Health Intelligence Network from the Public Health Agency of Canada). These websites were not used in the GIDEIMS due to their limitations or unavailability in China [<xref ref-type="bibr" rid="ref36">36</xref>-<xref ref-type="bibr" rid="ref40">40</xref>] (<xref ref-type="table" rid="table2">Table 2</xref>). At present, the GIDEIMS automatically collects information concerning more than 200 infectious diseases from 26 established official epidemic websites and Baidu news [<xref ref-type="bibr" rid="ref41">41</xref>]. Web crawlers, which are used to retrieve information from websites and can be modified according to the requirements of the user, provide an advanced technique for information searching [<xref ref-type="bibr" rid="ref42">42</xref>].</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Established and/or official public websites not used in the Global Infectious Diseases Epidemic Information Monitoring System.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="89"/>
            <col width="316"/>
            <col width="595"/>
            <thead>
              <tr valign="top">
                <td>Website number</td>
                <td>Name and responsible department</td>
                <td>Limitations</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>1</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Medisys, The European Union [<xref ref-type="bibr" rid="ref43">43</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Some information on global infectious diseases is delayed (eg, Ebola from Democratic Republic of the Congo).</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>2</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Biocaster, National Institute of Informatics (Japan) [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>This project ran from 2012 to 2016; currently unavailable.</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>3</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Epispider, CDC<sup>a</sup> (US) [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Currently unavailable from the mentioned website address and CDCa (US) websites.</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>4</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Project Argus, Georgetown University (Washington, DC, US) and MITRE Corporation (VA, US), sponsored by the Government of the US [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref36">36</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Currently unavailable from the mentioned website address.</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>5</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>The RODS<sup>b</sup> Open Source Project, RODS Library, University of Pittsburgh (PA, US) [<xref ref-type="bibr" rid="ref9">9</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>The software requires purchasing a license, and the website has not been updated since 2009.</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>6</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>GPHIN<sup>c</sup>, Public Health Agency of Canada [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Currently unavailable in the websites of the Public Health Agency of Canada. The WHO<sup>d</sup> website contains the main information collected by the GPHIN [<xref ref-type="bibr" rid="ref37">37</xref>].</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>7</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>Google Inc [<xref ref-type="bibr" rid="ref44">44</xref>]</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p/>
                      <p>The same visitor is not allowed to visit the site frequently, Chinese government also has restrictions on access to Google.</p>
                      <p/>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>CDC: Centers for Disease Control and Prevention.</p>
            </fn>
            <fn id="table2fn2">
              <p><sup>b</sup>RODS: Real-time Outbreak and Disease Surveillance.</p>
            </fn>
            <fn id="table2fn3">
              <p><sup>c</sup>GPHIN: Global Public Health Intelligence Network.</p>
            </fn>
            <fn id="table2fn4">
              <p><sup>d</sup>WHO: World Health Organization.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Structure</title>
        <p>The GIDEIMS uses distributed web crawler [<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref>] and cloud acceleration technologies to automatically collect epidemic information. Natural language processing and in-depth learning technologies are used to intelligently process epidemic information collected in 28 languages. The language translation service is provided by Baidu Translate, which is recognized as one of most reliable online translation services in China [<xref ref-type="bibr" rid="ref47">47</xref>]. Cloud acceleration technology is used to improve work performance of the system.</p>
        <p><xref rid="figure1" ref-type="fig">Figure 1</xref> shows the principle of the design of the GIDEIMS. In the figure, working staff refers to travel health officers; they provided the addresses/names of the epidemic information websites and requirements to the GIDEIMS administrator. The GIDEIMS administrator operated the center control mode according to the requirements set by the working staff. Subsequently, a series of webpage crawling, information extraction, and processing operations were performed.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Principle of the Global Infectious Diseases Epidemic Information Monitoring System design.</p>
          </caption>
          <graphic xlink:href="publichealth_v7i2e24204_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p>The center control mode is the core mode of the entire system. It includes the setup of the crawling strategy, assignment of tasks, and management, testing, and debugging of the system by the administrator of the GIDEIMS.</p>
        <p>The distributed crawling mode is the execution mode of the system and the key to determining the efficiency of the entire system. In this mode, multiple crawling machines cooperate to find webpages on the internet and jointly complete the crawling task.</p>
        <p>The main task of the webpage memory mode is to find webpages on the internet using the crawler mode and store them in a particular structure. The main task of the information extraction mode is to define extraction rules according to acquisition tasks set by the user and webpage characteristics. Moreover, this mode extracts the information available on the webpage identified by the crawler mode according to the rules and transmits the extracted results to the storage mode.</p>
        <p>The purpose of the epidemic information storage mode is to develop a data table related to the extraction rules defined by the information extraction mode.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Main Functions of the GIDEIMS</title>
        <p>The GIDEIMS includes 7 functions: (1) GIDEIMS map, (2) latest outbreaks, (3) epidemic inquiry, (4) epidemic information entry, (5) general analysis, (6) basic setup, and (7) further functions.</p>
        <sec>
          <title>GIDEIMS Map</title>
          <p>The GIDEMS map shows the latest available information worldwide and in China. Information is acquired and shown automatically by the virtual private network.</p>
          <p>The map has two submaps: (1) a global infectious disease epidemic map (GDM), and (2) a map of the epidemic situation in China (ESC) (<xref rid="figure2" ref-type="fig">Figure 2</xref>). The GDM presents the epidemic information for each country using different colors and can update the epidemic information for different countries in 3 seconds. The second map, the ESC, shows the epidemic information available for different regions of China, differentiated by color. When the mouse hovers over a region on the map, a list of the captured epidemic information from this region will be automatically displayed. By clicking on the list, users can obtain the relevant detailed information. For user interest, the map shows epidemic information by countries/regions, global today (list of global epidemic information available within the last 24 hours), latest data from China (list of domestic epidemic information available within the last month), ranking of the amount of global epidemic information available within the last month (ie, the amount of epidemic information available for each country, ranked from most to least), and an information search function.</p>
          <p>The GIDEIMS map provides information and data services with simple interfaces and convenient operation. Travelers and travel health officers can simply identify the global human infectious disease epidemic situation at a glance.</p>
          <fig id="figure2" position="float">
            <label>Figure 2</label>
            <caption>
              <p>The Global Infectious Diseases Epidemic Information Monitoring System map.</p>
            </caption>
            <graphic xlink:href="publichealth_v7i2e24204_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
        </sec>
        <sec>
          <title>Latest Outbreaks</title>
          <p>In the latest outbreaks part of the system, the epidemic situation over the last 48 hours is shown, and information is updated hourly. Epidemic situations can be classified based on different data source websites and different kinds of diseases. At present, this mode is updated on an hourly basis. A large amount of data is intelligently analyzed using the background cloud server to automatically search and mine infectious disease epidemic information from official epidemic websites. The GIDEIMS can intelligently extract information including name of the epidemic disease, occurrence area, and epidemic description information from the searched webpages. Subsequently, the system automatically translates the data into Chinese and displays them to the users, facilitating the understanding of the epidemic information by users. The GIDEIMS also provides links to the original webpages and web snapshots to facilitate verification.</p>
        </sec>
        <sec>
          <title>Epidemic Inquiry</title>
          <p>The epidemic information collected by the GIDEIMS contains the resource titles, country/area, name of the infectious disease, reported date, crawling date, information sources, number of infected cases, number of deaths, and more. Users can utilize the general inquiry function to search the aforementioned epidemic information. The query results can be displayed in the format of lists or map reports. The outbreaks in different regions and countries can be viewed at a glance.</p>
          <p>Users can access announcements from the health administrative department. These announcements contain the main introduction of disease, epidemic information, quarantine measures for travelers, advice for travelers heading to the area of the epidemic. Chinese travel health officers should follow the regulations of the administrative department—for example, a certain country with a severe COVID-19 epidemic situation has been regarded as a focus by the administrative department, and travelers from that country should receive COVID-19–related examinations when they enter China; hence, the prompt distribution of such announcements is very important for public health management.</p>
          <p>The epidemic inquiry function contains an “important epidemic” section showing important infectious disease epidemic information, such as quarantine diseases that the Frontier Health and Quarantine Law (China) has regulated and other important epidemic diseases. Quarantine diseases include plague, cholera, and yellow fever, as stipulated by the state council of China [<xref ref-type="bibr" rid="ref48">48</xref>]. In 2020, the essential epidemic diseases include plague, cholera, yellow fever, influenza, polio, Zika, dengue, chikungunya, malaria, measles, West Nile fever, and COVID-19. The list of diseases may be edited by the users in the basic setup section.</p>
          <p>Based on the requirements set by the users, the number of infected cases and deaths, as well as epidemic information for areas of interest to the users, can also be accessed.</p>
        </sec>
        <sec>
          <title>Other Functions</title>
          <p>Other functions of the GIDEIMS are epidemic information entry, general analysis, basic setup, and further functions.</p>
          <p>In the epidemic information entry function, travel health staff can manually enter epidemic information. The general analysis function reports epidemic information in a user-defined manner. Basic setup includes user management, important epidemic management, and important area management. For user management, the administrator may add, edit, or delete users. Also, criteria such as “important epidemic” or “important area” could be adjusted based on the user’s requirements.</p>
          <p>The GIDEIMS is continuously upgraded because of many factors, such as users’ needs, source websites changes, or the global epidemic situation of a certain disease. Users will be able to send epidemic information to administrative departments and be linked to defined social media.</p>
        </sec>
      </sec>
      <sec>
        <title>Practical Case</title>
        <p>In this section, we illustrate the GIDEIMS as a practical case to assess the system’s functionalities. The GIDEIMS map is seen by users via an independent path (ie, a virtual private network), while the other functions of the GIDEIMS are shown as websites.</p>
        <p>Prior to using the GIDEIMS map, users install the specific application program provided by the developer in order to view the map (<xref rid="figure2" ref-type="fig">Figure 2</xref>). On July 16, 2019, the GIDEIMS collected 46 pieces of data compared with 10 pieces of data provided by the Global Incident Map and 6 pieces of data provided by Outbreak News Today (see <xref ref-type="table" rid="table3">Table 3</xref>). The data included 27 types of epidemic information from 23 countries/areas (10 websites). Two pieces of data were collected by both the Global Incident Map and Outbreak News Today (numbers 8 and 10 in <xref ref-type="table" rid="table3">Table 3</xref>).</p>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Epidemic information collected on July 16, 2019.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="93"/>
            <col width="183"/>
            <col width="360"/>
            <col width="124"/>
            <col width="240"/>
            <thead>
              <tr valign="top">
                <td>Data item number</td>
                <td>Country/area</td>
                <td>Title</td>
                <td>Disease</td>
                <td>Resource</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>1</td>
                <td>DRC<sup>a</sup></td>
                <td>DRC: &#62;2,500 cumulative cases of Ebola; 1,668 deaths [Chinese]<sup>b</sup> [<xref ref-type="bibr" rid="ref49">49</xref>]</td>
                <td>Ebola</td>
                <td>Baidu News</td>
              </tr>
              <tr valign="top">
                <td>2</td>
                <td>DRC</td>
                <td>Fighting between DRC and Ebola has triggered the first confirmed case in Goma [Chinese]<sup>b</sup> [<xref ref-type="bibr" rid="ref50">50</xref>]</td>
                <td>Ebola</td>
                <td>Baidu News</td>
              </tr>
              <tr valign="top">
                <td>3</td>
                <td>DRC</td>
                <td>DRC: Ebola virus disease [update] [Chinese Traditional]<sup>b</sup> [<xref ref-type="bibr" rid="ref51">51</xref>]</td>
                <td>Ebola</td>
                <td>Travel Health Service, Department of Health (Hong Kong, China)</td>
              </tr>
              <tr valign="top">
                <td>4</td>
                <td>DRC</td>
                <td>Measles outbreak in the DRC [Chinese]<sup>b</sup> [<xref ref-type="bibr" rid="ref52">52</xref>]</td>
                <td>Measles</td>
                <td>Baidu News</td>
              </tr>
              <tr valign="top">
                <td>5</td>
                <td>DRC</td>
                <td>WHO<sup>c</sup> will take up Ebola emergency declaration question for a fourth time [<xref ref-type="bibr" rid="ref53">53</xref>]</td>
                <td>Ebola</td>
                <td>CIDRAP<sup>d</sup></td>
              </tr>
              <tr valign="top">
                <td>6</td>
                <td>Myanmar</td>
                <td>Swine flu death toll rises to 54 in Myanmar [<xref ref-type="bibr" rid="ref54">54</xref>]</td>
                <td>Influenza</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>7</td>
                <td>Pakistan</td>
                <td>54 more dengue cases surface [<xref ref-type="bibr" rid="ref55">55</xref>]</td>
                <td>Dengue</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>8</td>
                <td>Singapore</td>
                <td>Singapore reports 666 dengue cases last week [<xref ref-type="bibr" rid="ref56">56</xref>,<xref ref-type="bibr" rid="ref57">57</xref>]</td>
                <td>Dengue</td>
                <td>Global Incident Map; Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>9</td>
                <td>Singapore</td>
                <td>Dengue cases: 75 cases notified 16 Jul 2019 at 3 pm [<xref ref-type="bibr" rid="ref58">58</xref>]</td>
                <td>Dengue</td>
                <td>National Environment Agency, Singapore</td>
              </tr>
              <tr valign="top">
                <td>10</td>
                <td>Philippines</td>
                <td>Dengue in Zamboanga up 285 percent this year [<xref ref-type="bibr" rid="ref59">59</xref>]</td>
                <td>Dengue</td>
                <td>Global Incident Map; Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>11</td>
                <td>Cameroon</td>
                <td>Cholera kills five in Far North region [<xref ref-type="bibr" rid="ref60">60</xref>]</td>
                <td>Cholera</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>12</td>
                <td>India</td>
                <td>H1N1 flu on the rise, 309 cases in Mumbai [<xref ref-type="bibr" rid="ref61">61</xref>]</td>
                <td>Influenza</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>13</td>
                <td>India</td>
                <td>Leptospirosis—India (03): (Maharashtra) [<xref ref-type="bibr" rid="ref62">62</xref>]</td>
                <td>Leptospirosis</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>14</td>
                <td>India</td>
                <td>Japanese encephalitis &#38; other—India (17): (AS) [<xref ref-type="bibr" rid="ref63">63</xref>]</td>
                <td>Japanese encephalitis</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>15</td>
                <td>India</td>
                <td>Nipah-affected student to be discharged on Tuesday [<xref ref-type="bibr" rid="ref64">64</xref>]</td>
                <td>Nipah virus</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>16</td>
                <td>India</td>
                <td>8-year-old dies due to suspected dengue fever [<xref ref-type="bibr" rid="ref65">65</xref>]</td>
                <td>Dengue</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>17</td>
                <td>Bangladesh</td>
                <td>Nearly 2,800 cases in first 16 days of July [<xref ref-type="bibr" rid="ref66">66</xref>]</td>
                <td>Dengue</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>18</td>
                <td>Canada</td>
                <td>Canada: 1st human rabies case reported since 2012 [<xref ref-type="bibr" rid="ref67">67</xref>]</td>
                <td>Rabies</td>
                <td>Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>19</td>
                <td>Canada</td>
                <td>Canada: Syphilis outbreak in Alberta [<xref ref-type="bibr" rid="ref68">68</xref>]</td>
                <td>Syphilis</td>
                <td>Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>20</td>
                <td>United States</td>
                <td>Cryptosporidium in the US with Joseph Eisenberg, PhD [<xref ref-type="bibr" rid="ref69">69</xref>]</td>
                <td>Cryptosporidiosis</td>
                <td>Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>21</td>
                <td>United States</td>
                <td>Anthrax in Texas update: Eight premises in three counties [<xref ref-type="bibr" rid="ref70">70</xref>]</td>
                <td>Anthrax</td>
                <td>Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>22</td>
                <td>United States</td>
                <td>Florida reports 1,900 hepatitis A cases so far, Pasco County has seen the most [<xref ref-type="bibr" rid="ref71">71</xref>]</td>
                <td>Hepatitis A</td>
                <td>Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>23</td>
                <td>United States</td>
                <td>Angiostrongylus cantonensis—US (04): (HI) [<xref ref-type="bibr" rid="ref72">72</xref>]</td>
                <td>Angiostrongyliasis</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>24</td>
                <td>United States</td>
                <td>Infant botulism—US (02): (TX) more cases [<xref ref-type="bibr" rid="ref73">73</xref>]</td>
                <td>Botulism</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>25</td>
                <td>United States</td>
                <td>Undiagnosed respiratory illness—US (02): (VA) fatal, retirement community [<xref ref-type="bibr" rid="ref74">74</xref>]</td>
                <td>Undiagnosed</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>26</td>
                <td>United States</td>
                <td>El Paso reports 3rd measles case [<xref ref-type="bibr" rid="ref75">75</xref>]</td>
                <td>Measles</td>
                <td>Outbreak News Today</td>
              </tr>
              <tr valign="top">
                <td>27</td>
                <td>United States</td>
                <td>Rise in Candida auris cases; New AMR plan in Wales [<xref ref-type="bibr" rid="ref76">76</xref>]</td>
                <td>Candida auris</td>
                <td>CIDRAP<sup>d</sup></td>
              </tr>
              <tr valign="top">
                <td>28</td>
                <td>Malaysia</td>
                <td>Malaria—Malaysia: Pahang, resurgence [<xref ref-type="bibr" rid="ref77">77</xref>]</td>
                <td>Malaria</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>29</td>
                <td>Saudi Arabia</td>
                <td>MERS-CoV (57): Saudi Arabia (NJ,RI) WHO [<xref ref-type="bibr" rid="ref78">78</xref>]</td>
                <td>MERS<sup>e</sup></td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>30</td>
                <td>Saudi Arabia</td>
                <td>WHO notes clusters in recent MERS cases, unveils environmental sampling guide [<xref ref-type="bibr" rid="ref79">79</xref>]</td>
                <td>MERS</td>
                <td>CIDRAP</td>
              </tr>
              <tr valign="top">
                <td>31</td>
                <td>France</td>
                <td>Salmonellosis—France: cured ham, alert, recall [<xref ref-type="bibr" rid="ref80">80</xref>]</td>
                <td>Salmonellosis</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>32</td>
                <td>Syria</td>
                <td>Brucellosis—Syria: (Quneitra) increasing incidence [Arabic]<sup>b</sup> [<xref ref-type="bibr" rid="ref81">81</xref>]</td>
                <td>Brucellosis</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>33</td>
                <td>Kenya</td>
                <td>Anthrax—Kenya (12): (KU) human, cattle [<xref ref-type="bibr" rid="ref82">82</xref>]</td>
                <td>Anthrax</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>34</td>
                <td>Taiwan</td>
                <td>One newly diagnosed case of local dengue fever in Tainan [Chinese Traditional]<sup>b</sup> [<xref ref-type="bibr" rid="ref83">83</xref>]</td>
                <td>Dengue</td>
                <td>Taiwan CDC<sup>f</sup></td>
              </tr>
              <tr valign="top">
                <td>35</td>
                <td>Taiwan</td>
                <td>A new case of enterovirus complicated with severe illness [Chinese Traditional]<sup>b</sup> [<xref ref-type="bibr" rid="ref84">84</xref>]</td>
                <td>Hand, foot and mouth disease</td>
                <td>Taiwan CDC</td>
              </tr>
              <tr valign="top">
                <td>36</td>
                <td>Brazil, Cambodia, Pakistan, etc</td>
                <td>Dengue fever or Chikungunya fever are prevalent in many countries in the world [Chinese Traditional]<sup>b</sup> [<xref ref-type="bibr" rid="ref85">85</xref>]</td>
                <td>Dengue, chikungunya</td>
                <td>Taiwan CDC</td>
              </tr>
              <tr valign="top">
                <td>37</td>
                <td>Europe</td>
                <td>Rising European measles vaccination [<xref ref-type="bibr" rid="ref86">86</xref>]</td>
                <td>Measles</td>
                <td>CIDRAP</td>
              </tr>
              <tr valign="top">
                <td>38</td>
                <td>Thailand</td>
                <td>The disease control department recently revealed that the situation of dengue fever is slowing down [Thai]<sup>b</sup> [<xref ref-type="bibr" rid="ref87">87</xref>]</td>
                <td>Dengue fever</td>
                <td>The Department of Disease Control of Thailand</td>
              </tr>
              <tr valign="top">
                <td>39</td>
                <td>Nigeria</td>
                <td>An update of Lassa fever outbreak in Nigeria for Week 27 [<xref ref-type="bibr" rid="ref88">88</xref>]</td>
                <td>Lassa fever</td>
                <td>Nigeria CDC</td>
              </tr>
              <tr valign="top">
                <td>40</td>
                <td>Nigeria</td>
                <td>An update of Cholera outbreak in Nigeria for Week 27 [<xref ref-type="bibr" rid="ref89">89</xref>]</td>
                <td>Cholera</td>
                <td>Nigeria CDC</td>
              </tr>
              <tr valign="top">
                <td>41</td>
                <td>Namibia</td>
                <td>H1N1 claims life in Windhoek [<xref ref-type="bibr" rid="ref90">90</xref>]</td>
                <td>Influenza</td>
                <td>Global Incident Map</td>
              </tr>
              <tr valign="top">
                <td>42</td>
                <td>China</td>
                <td>The reported incidence of hepatitis A and B in Gansu Province was significantly reduced [Chinese]<sup>b</sup> [<xref ref-type="bibr" rid="ref91">91</xref>]</td>
                <td>Hepatitis A and B</td>
                <td>Baidu News</td>
              </tr>
              <tr valign="top">
                <td>43</td>
                <td>China</td>
                <td>Foodborne illness—China: Beijing, tap water, norovirus suspected [<xref ref-type="bibr" rid="ref92">92</xref>]</td>
                <td>Norovirus</td>
                <td>ProMED-mail</td>
              </tr>
              <tr valign="top">
                <td>44</td>
                <td>China</td>
                <td>Suspected Norovirus Infection in Residents of Wanke Qingqing Home District, Chaoyang, Beijing [Chinese]<sup>b</sup> [<xref ref-type="bibr" rid="ref93">93</xref>]</td>
                <td>Norovirus</td>
                <td>Baidu News</td>
              </tr>
              <tr valign="top">
                <td>45</td>
                <td>China</td>
                <td>Shandong: In June, fewer people got the flu than those infected with hand, foot, and mouth disease [Chinese]<sup>b</sup> [<xref ref-type="bibr" rid="ref94">94</xref>]</td>
                <td>Hand, foot, and mouth disease</td>
                <td>Baidu News</td>
              </tr>
              <tr valign="top">
                <td>46</td>
                <td>Global</td>
                <td>The latest report issued by UNAIDS: the mixed situation of countries [Chinese]<sup>b</sup> [<xref ref-type="bibr" rid="ref95">95</xref>]</td>
                <td>HIV</td>
                <td>Baidu News</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table3fn1">
              <p><sup>a</sup>DRC: Democratic Republic of the Congo.</p>
            </fn>
            <fn id="table3fn2">
              <p><sup>b</sup>Translated by Baidu Translate.</p>
            </fn>
            <fn id="table3fn3">
              <p><sup>c</sup>WHO: World Health Organization.</p>
            </fn>
            <fn id="table3fn4">
              <p><sup>d</sup>CIDRAP: Center for Infectious Disease Research and Policy.</p>
            </fn>
            <fn id="table3fn5">
              <p><sup>e</sup>MERS: Middle East Respiratory Syndrome.</p>
            </fn>
            <fn id="table3fn6">
              <p><sup>f</sup>CDC: Centres for Disease Control and Prevention.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>For the other functions of the GIDEIMS, first, the user must access the system using a defined website address [<xref ref-type="bibr" rid="ref96">96</xref>]. After entering the username and password, the user sees the latest outbreak page (<xref rid="figure3" ref-type="fig">Figure 3</xref>), which shows the last five pieces of epidemic information news from each website. By clicking the “more” button, the user gains access to further epidemic information. The “check” button displays the detailed information (<xref rid="figure4" ref-type="fig">Figure 4</xref>). Users can click the “original webpage link” to verify the information.</p>
        <p>Users wishing to search, for example, for recent Zika epidemic information would click “Epidemic inquiry,” followed by “General inquiry,” enter the epidemic disease name “Zika (in Chinese)” in “Epidemic situation name,” and limit the occurrence date to July 2019. The results are shown in <xref rid="figure5" ref-type="fig">Figure 5</xref>.</p>
        <p>Shenzhen travel health officers use the epidemic information on a daily basis to guide their decision-making on infection disease epidemic management, such as identifying travelers with high fever and investigating their travel history. For travelers arriving from epidemic areas of certain infectious diseases, the officers will obtain a sample and test for the infectious diseases of interest if the traveler consents.</p>
        <p>In contrast, without the GIDEIMS, staff could spend approximately 4 hours (excluding translation time) identifying the relevant epidemic information. With the use of the GIDEIMS, staff only need to access the collected data and verify them using the links and snapshots provided by the system when necessary. Working time is shortened to less than 1 hour. The information collected by the GIDEIMS is more accessible and comprehensive than that collected through the manual method.</p>
        <fig id="figure3" position="float">
          <label>Figure 3</label>
          <caption>
            <p>First page of the Global Infectious Diseases Epidemic Information Monitoring System, showing the latest outbreak.</p>
          </caption>
          <graphic xlink:href="publichealth_v7i2e24204_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure4" position="float">
          <label>Figure 4</label>
          <caption>
            <p>Detailed information provided by the Global Infectious Diseases Epidemic Information Monitoring System.</p>
          </caption>
          <graphic xlink:href="publichealth_v7i2e24204_fig4.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure5" position="float">
          <label>Figure 5</label>
          <caption>
            <p>Sample inquiry about the Zika epidemic situation using the general inquiry function of the Global Infectious Diseases Epidemic Information Monitoring System.</p>
          </caption>
          <graphic xlink:href="publichealth_v7i2e24204_fig5.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Using the epidemic information provided by the GIDEIMS, health officers can quickly focus on travelers from certain countries and/or regions and discover infected cases as early as possible. By using the information from the GIDEIMS, staff at the Health Quarantine Center Laboratory of the Shenzhen International Travel Health Care Center (Shenzhen Customs District Port Outpatient Clinics) detected the first imported Zika cases in China [<xref ref-type="bibr" rid="ref97">97</xref>], and thousands of suspected cases of certain infectious diseases have also been detected annually [<xref ref-type="bibr" rid="ref98">98</xref>].Thus, while the detection work is strenuous, the GIDEIMS provides a helpful tool to effectively and sustainably identify suspected infected travelers into the Port of Shenzhen. The main advantage of the GIDEIMS is that it can automatically collect epidemic information from defined websites and translate it into the Chinese language. Although occasionally the system may duplicate information and require a manual check, most of the users of the GIDEIMS—such as the travel health officers working at Customs, travelers, researchers, and others working in the infectious disease control and prevention sector—reveal that the GIDEIMS saves time and is less labor-intensive. The first version of the GIDEIMS was developed in 2016 [<xref ref-type="bibr" rid="ref99">99</xref>]. It is constantly upgraded to fulfill the requirements of users and adjusted according to actual situations. We constructed a visual display platform for the global infectious diseases epidemic information. The GIDEIMS is a user-friendly tool to support both travelers and travel health officers in travel health management. Meanwhile, big data obtained from the GIDEIMS may be used for infectious disease surveillance management and control.</p>
      <p>In regard to COVID-19, information systems have largely been built to address almost every aspect of health management, including infection situation data management, remote health care system management, and syndromic surveillance [<xref ref-type="bibr" rid="ref100">100</xref>-<xref ref-type="bibr" rid="ref102">102</xref>]. In comparison, the GIDEIMS provides more comprehensive disease information than other COVID-19 epidemic information systems. Compared with the geographic information system for global monitoring of COVID-19 established by Johns Hopkins University [<xref ref-type="bibr" rid="ref103">103</xref>], whose initial data were collected from the World Health Organization (WHO), US Centers for Disease Control and Prevention (CDC), China CDC, European Centre for Disease Prevention and Control (ECDC), National Health Commission of China (NHC), and DXY (a Chinese health-focused social website), the GIDEIMS could provide a full picture of the worldwide situation of the COVID-19 epidemic.</p>
      <p>GIDEIMS breaks the barriers of language, region, time difference, and more so that it can provide enormous amounts of real-time infectious disease-related information. The system is not targeted on the individual traveler, but it provides travelers with useful information on the epidemic situation of infectious diseases.</p>
      <p>At present, the GIDEIMS is a nonprofit application information system, where the maintenance and upgrade operations are performed by the developers free of charge. Due to the limitations of funds and human resources, the system is available in Chinese only. It is mainly provided to relevant infectious disease prevention and control departments and personnel for a free trial.</p>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">CDC</term>
          <def>
            <p>Centers for Disease Control and Prevention</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">ECDC</term>
          <def>
            <p>European Centre for Disease Prevention and Control</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">ESC</term>
          <def>
            <p>epidemic situation in China</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">GDM</term>
          <def>
            <p>global infectious disease epidemic map</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">GIDEIMS</term>
          <def>
            <p>Global Infectious Diseases Epidemic Information Monitoring System</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">MERS</term>
          <def>
            <p>Middle East Respiratory Syndrome</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">NHC</term>
          <def>
            <p>National Health Commission of China</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">WHO</term>
          <def>
            <p>World Health Organization</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The authors would like to thank the Health and Quarantine Office of Shenzhen Customs for its advice and comments for the improvement of the GIDEIMS.</p>
      <p>This research was supported by the National Key Research and Development Program of China (No. 2018YFC0809200, No. 2016YFF0203203); the National Natural Science Foundation of China (No. 81703271); Guangdong Science and Technology Foundation (No. 2017B020210006, No. 2016A020219005); Shenzhen Science and Technology Foundation (No. SGLH20180625171602058, CKCY20170720100145297, No. JCYJ20160427151920801, No. JCYJ20170307104024209), and the Open Project of Key Laboratory of Tropical Disease Control of the Ministry of Education (Sun Yat-sen University, No. 2019kfkt06).</p>
      <p>The funding sources played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
        <p>All authors participated in designing the study, analyzing the results, and writing the manuscript. All authors approved the final manuscript.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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</article>
